
\begin{table}[htbp]
   \caption{\label{tab:compreg4} Regression results: composite savings and incremental savings from DoE Challenge heat pump by income, race, and urban/rural designation}
   \centering
   \begin{tabular}{lcccccc}
      \tabularnewline \midrule \midrule
       & \multicolumn{3}{c}{Composite savings} & \multicolumn{3}{c}{Incremental savings} \\ 
      Model:           & (1)            & (2)            & (3)            & (4)            & (5)            & (6)\\  
      \midrule
      \emph{Variables}\\
      Constant         & 4.539          &                &                & 87.29$^{***}$  &                &   \\   
                       & (8.335)        &                &                & (2.521)        &                &   \\   
      Less than \$10k  & 54.67$^{***}$  & 47.78$^{***}$  & 31.21$^{***}$  & -44.83$^{***}$ & -44.16$^{***}$ & -44.11$^{***}$\\   
                       & (6.224)        & (4.753)        & (3.632)        & (1.871)        & (1.079)        & (0.9567)\\   
      $10-$15k         & 53.66$^{***}$  & 46.03$^{***}$  & 27.71$^{***}$  & -44.69$^{***}$ & -43.55$^{***}$ & -44.04$^{***}$\\   
                       & (6.290)        & (4.697)        & (3.574)        & (1.882)        & (1.097)        & (0.9758)\\   
      $15-$25k         & 51.01$^{***}$  & 43.34$^{***}$  & 26.67$^{***}$  & -40.16$^{***}$ & -38.60$^{***}$ & -39.37$^{***}$\\   
                       & (6.165)        & (4.488)        & (3.283)        & (1.861)        & (1.023)        & (0.8905)\\   
      $25-$35k         & 49.11$^{***}$  & 41.90$^{***}$  & 26.48$^{***}$  & -35.20$^{***}$ & -33.89$^{***}$ & -34.75$^{***}$\\   
                       & (5.991)        & (4.283)        & (3.048)        & (1.824)        & (0.9695)       & (0.8266)\\   
      $35-$50k         & 41.58$^{***}$  & 37.79$^{***}$  & 23.87$^{***}$  & -32.39$^{***}$ & -31.99$^{***}$ & -32.86$^{***}$\\   
                       & (5.809)        & (4.202)        & (2.944)        & (1.787)        & (0.9564)       & (0.8052)\\   
      $50-$75k         & 36.93$^{***}$  & 34.69$^{***}$  & 22.19$^{***}$  & -28.44$^{***}$ & -28.57$^{***}$ & -29.26$^{***}$\\   
                       & (5.496)        & (4.016)        & (2.763)        & (1.711)        & (0.9099)       & (0.7574)\\   
      $75-$100k        & 24.98$^{***}$  & 25.95$^{***}$  & 16.30$^{***}$  & -22.62$^{***}$ & -23.65$^{***}$ & -24.35$^{***}$\\   
                       & (5.048)        & (3.741)        & (2.506)        & (1.588)        & (0.8477)       & (0.6890)\\   
      $100-$150k       & 14.43$^{***}$  & 18.19$^{***}$  & 12.79$^{***}$  & -12.85$^{***}$ & -14.64$^{***}$ & -15.25$^{***}$\\   
                       & (4.244)        & (3.240)        & (2.023)        & (1.351)        & (0.7103)       & (0.5520)\\   
      $150-$200k       & -1.430         & 2.829          & 2.043          & -3.348$^{***}$ & -4.908$^{***}$ & -5.425$^{***}$\\   
                       & (3.100)        & (2.509)        & (1.459)        & (0.9807)       & (0.5139)       & (0.3719)\\   
      Black            & 15.15$^{**}$   & -23.93$^{***}$ & 5.711$^{***}$  & -12.77$^{***}$ & -4.806$^{***}$ & -3.860$^{***}$\\   
                       & (7.297)        & (4.373)        & (1.372)        & (1.430)        & (0.4185)       & (0.2317)\\   
      Asian            & -35.00$^{***}$ & -27.46$^{***}$ & -5.544$^{***}$ & -25.11$^{***}$ & -9.996$^{***}$ & -7.294$^{***}$\\   
                       & (5.257)        & (3.834)        & (1.526)        & (1.393)        & (0.4581)       & (0.3021)\\   
      Native Am.       & 27.50$^{***}$  & 25.86$^{***}$  & 22.46$^{***}$  & -14.22$^{***}$ & -2.933$^{***}$ & -4.176$^{***}$\\   
                       & (6.636)        & (4.274)        & (3.038)        & (1.460)        & (0.6139)       & (0.3899)\\   
      Other            & -20.66$^{***}$ & -11.89$^{***}$ & 5.722$^{***}$  & -18.76$^{***}$ & -5.302$^{***}$ & -3.392$^{***}$\\   
                       & (4.231)        & (3.059)        & (1.119)        & (1.101)        & (0.3660)       & (0.1784)\\   
      Rural PUMA       & 121.5$^{***}$  & 103.3$^{***}$  &                & 4.770$^{**}$   & 5.457$^{***}$  &   \\   
                       & (8.229)        & (5.802)        &                & (2.199)        & (0.7232)       &   \\   
      \midrule
      \emph{Fixed-effects}\\
      State            &                & Yes            &                &                & Yes            & \\  
      PUMA             &                &                & Yes            &                &                & Yes\\  
      \midrule
      \emph{Fit statistics}\\
      Observations     & 5,947,311      & 5,947,311      & 5,947,311      & 5,947,311      & 5,947,311      & 5,947,311\\  
      R$^2$            & 0.03892        & 0.22759        & 0.35064        & 0.06488        & 0.64503        & 0.70027\\  
      Within R$^2$     &                & 0.03108        & 0.00115        &                & 0.10952        & 0.11059\\  
      \midrule \midrule
      \multicolumn{7}{l}{\emph{ Clustered (PUMA) standard-errors in parentheses }}\\
      \multicolumn{7}{l}{\emph{ Signif. Codes: $^{***}$: 0.01, $^{**}$: 0.05, $^{*}$: 0.1 }}\\
      \multicolumn{7}{l}{\emph{ Omitted categories are income: \$200k+, race: White }}\\
   \end{tabular}
\end{table}


